A practical operator support scheme and its application to safety-ensured object break using dual-arm machinery

References

• Guarnieri M, Debenest P, Inoh T, Fukushima E, Hirose S. Helios VII: a new vehicle for disaster response-mechanical design and basic experiments. Adv. Rob. 2005;19:901–927.10.1163/1568553055011492
   Web of Science ®Google Scholar
• Tadokoro S. Special project on development of advanced robots for disaster response (DDT project). In: Proceeding 2005 IEEE Workshop on Advanced Robotics and its Social Impacts; 2005; Nagoya, Japan. p. 66–72.10.1109/ARSO.2005.1511621
   Google Scholar
• Council on Competitiveness-Nippon. [updated 2013 Feb 14.] Available from: http://www.cocn.jp/common/pdf/thema50-L2.pdf.
   Google Scholar
• Brunner D, Lemoine G, Bruzzone L. Earthquake damage assessment of buildings using VHR optical and SAR imagery. IEEE Trans. Geosci. Remote Sens. 2010;48:2403–2420.10.1109/TGRS.2009.2038274
   Web of Science ®Google Scholar
• Ohno K, Tadokoro S, Nagatani K, Koyanagi E, Yoshida T. Trials of 3-D map construction using the tele-operated tracked vehicle kenaf at disaster city. In: Proceeding of 2010 IEEE International Conference on Robotics and Automation; 2010; Anchorage, AK, USA. p. 2864–2870.10.1109/ROBOT.2010.5509722
   Google Scholar
• Oyekana J, Hub H. Biologically-inspired behaviour based robotics for making invisible pollution visible: a survey. Adv. Rob. 2014;1:1–18.
   Google Scholar
• Wu J, Zhou G. Real-time UAV video processing for quick-response to natural disaster. In: Proceeding of IEEE International Conference on Geoscience and Remote Sensing Symposium; 2006; Denver, CO, USA. p. 976–979.
   Google Scholar
• Nagatani K, Kiribayashi S, Okada Y, Otake K, Kazuya Y, Tadokoro S, Nishimura T, Yoshida T, Koyanagi E, Fukushima M, Kawatsuma S. Gamma-ray irradiation test of electric components of rescue mobile robot Quince. In: Proceeding of 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics; 2011; Kyoto, Japan. p. 56–60.10.1109/SSRR.2011.6106756
   Google Scholar
• Humphrey CM, Adams JA. Robotic tasks for chemical, biological, radiological, nuclear and explosive incident response. Adv. Rob. 2009;23:1217–1232.10.1163/156855309X452502
   Web of Science ®Google Scholar
• Jinki M, Youngwan S, Shinsuk P, Jinwook K. Development of immersive augmented reality interface for construction robotic system. In: Proceeding of International Conference on Control, Automation and Systems; 2007; Seoul, Korea. p. 1192–1197.
   Google Scholar
• Kitahara S, Takashi Y. Deployment of construction robots applying the information technology and network system. In: Proceeding of International Symposium on Automation and Robotics in Construction; 2006; Tokyo, Japan. p. 19–23.
   Google Scholar
• Kaber DB, Li Y, Clamann M, Lee YS. Investigating human performance in a virtual reality haptic simulator as influenced by fidelity and system latency. IEEE Trans. Syst. Man Cybern. A. 2012;42:1562–1566.10.1109/TSMCA.2012.2201466
   Web of Science ®Google Scholar
• Ishii A. Operation system of a double-front work machine for simultaneous operation. In: Proceeding of International Symposium on Automation and Robotics in Construction; 2006; Tokyo, Japan. p. 539–542.
   Google Scholar
• Gokyuu T, Nakamura S, Ueno T, Nakamura M, Inoue D, Yanagihara Y. Sorting system for recycling of construction byproducts with Bayes’ theorem-based robot vision. J. Rob. Mechatron. 2011;23:1066–1072.
   Google Scholar
• Hiramatsu Y, Aono T, Nishio M. Disaster restoration work for the eruption of Mt Usuzan using an unmanned construction system. Adv. Rob. 2002;16:505–508.10.1163/156855302320535836
   Web of Science ®Google Scholar
• Duchemin G, Maillet P, Poignet P, Dombre E, Pierrot F. A hybrid position/force control approach for identification of deformation models of skin and underlying tissues. IEEE Trans. Biomed. Eng. 2005;52:160–170.10.1109/TBME.2004.840505
   PubMed Web of Science ®Google Scholar
• Nagiri S, Amano Y, Fukui K, Doi S. The study of driving support system for individual driver. In: Proceeding of IEEE International Conference on Systems, Man and Cybernetics; 2002; Yasmine Hammamet, Tunisia. p. 563–568.10.1109/ICSMC.2002.1173474
   Google Scholar
• Kamezaki M, Iwata H, Sugano S. Primitive static states for intelligent operated-work machines. In: Proceedings of IEEE International Conference on Robotics and Automation; 2009; Kobe, Japan. p. 1334–1339.
   Google Scholar
• Kamezaki M, Iwata H, Sugano S. Operator support system based on primitive static states in intelligent operated work machines. Adv. Rob. 2009;23:1281–1297.10.1163/156855309X462583
   Web of Science ®Google Scholar
• Kamezaki M, Iwata H, Sugano S. Development of an operation skill-training simulator for double-front work machine–training effect for house demolition work-. J. Rob. Mechatron. 2008;20:602–609.
   Google Scholar
• Huang Y, Gueta LB, Chiba R, Arai T, Ueyama T, Ota J. Selection of manipulator system for multiple-goal task by evaluating task completion time and cost with computational time constraints. Adv. Rob. 2013;27:233–245.10.1080/01691864.2013.755244
   Web of Science ®Google Scholar
• Lee K-D, Yum T-S. On pareto-efficiency between profit and utility in OFDM resource allocation. IEEE Trans. Commun. 2010;58:3277–3285.10.1109/TCOMM.2010.091310.0900102
   Web of Science ®Google Scholar
• Yang J, Xu Y, Chen CS. Hidden Markov model approach to skill learning and its application to telerobotics. IEEE Trans. Rob. Autom. 1994;10:521–531.
   Google Scholar
• Itabashi K, Suzuki T, Okuma S. Identification of task skill with hidden Markov model. Tech. Report IEICE. 1997;97:73–80.
   Google Scholar
• Kamezaki M, Iwata H, Sugano S. Practical object-grasp estimation without visual or tactile information for heavy-duty work machines. In: Proceeding of 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems; 2013; Tokyo, Japan. p. 3210–3215.10.1109/IROS.2013.6696812
   Google Scholar
• Kamezaki M, Iwata H, Sugano S. A pragmatic load detecting system based on uncertainty evaluation for construction manipulator. SICE J. Control Meas. Syst. Integr. 2012;5:366–373.10.9746/jcmsi.5.366
   Google Scholar
• Kamezaki M, Hashimoto S, Iwata H, Sugano S. Development of a dual robotic arm system to evaluate intelligent system for advanced construction machinery. In: Proceeding of IEEE International Conference on Advanced Intelligent Mechatronics; 2010; Montreal, ON. p. 1299–1304.
   Google Scholar